Retrieval dynamics of neural networks for sparsely coded sequential patterns
Retrieval dynamics of neural networks for sparsely coded sequential patterns
It is well known that a sparsely coded network in which the activity level is extremely low has intriguing equilibrium properties. In this work, we study the dynamical properties of a neural network designed to store sparsely coded sequential patterns rather than static ones. Applying the theory of statistical neurodynamics, …